Building Capacity for Injectable Diacetylmorphine and Hydromorphone for the Treatment of Opioid Use Disorder: Identifying Typical Doses
Bibliographic record
Abstract
Identifying typical doses of existing opioid use disorder medications, such as injectable opioid agonist treatment (iOAT), can support client and program needs, and potentially increase iOAT expansion. Longitudinal data from participants in a cohort study (n = 131), along with clinic dispensation records from August 2014 to April 2020, were used to examine physician prescribed as well as used doses of injectable diacetylmorphine and hydromorphone. Dosage groups, by medication and prescribed dose per session, were created for both hydromorphone and diacetylmorphine. A total of 534, 522 injections were registered during the study period among 129 participants. Mean received diacetylmorphine doses ranged from 106 to 989 mg per day, with most clients using 125–262 mg per session (mean 192.99 mg) and attending 2.40 sessions per day. Mean received hydromorphone doses ranged from 51.09 to 696.06 mg per day, with the majority using 88–154 mg per session (mean 121.32 mg; 2.43 sessions). Average daily doses remained stable overtime and, while mid-range doses were most typical, participants used the whole spectrum of allowable dose prescriptions. Evidence supporting typical doses of iOAT can be integrated into program planning to better allow providers and prescribers to anticipate program needs and engage in individualized care.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".